Llama 3.2 90B Vision vs Solar Pro
Compare Llama 3.2 90B Vision and Solar Pro: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.
Updated 2026-05-21 · By Abhishek Raj · Our methodology
| Feature | Llama 3.2 90B Vision | Solar Pro |
|---|---|---|
| Category | Vision | Open Source |
| Parameters | 90B | 22B |
| Context Window | 128K | 32K |
| Input Price | $0.06/1M tokens | $0.02/1M tokens |
| Output Price | $0.10/1M tokens | $0.04/1M tokens |
| Latency | ~500ms | ~180ms |
Choose Llama 3.2 90B Vision when:
- ✓ Chart image analysis
- ✓ Document scanning
- ✓ Visual Q&A
Vision + language, Open weights, Good reasoning
Choose Solar Pro when:
- ✓ General purpose
- ✓ Korean content
- ✓ Chatbots
Good instruction following, Compact, Efficient
Verdict: Llama 3.2 90B Vision vs Solar Pro
For cost efficiency, Solar Pro wins at $0.02/1M input tokens. For speed, Solar Pro is faster at ~180ms. Llama 3.2 90B Vision excels at Chart image analysis while Solar Pro is better for General purpose. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.
Detailed Analysis
Pricing Comparison
Llama 3.2 90B Vision costs $0.06/1M input tokens and $0.10/1M output tokens. Solar Pro costs $0.02 input and $0.04 output. Solar Pro is 3.0x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.
Performance & Context
Llama 3.2 90B Vision has a 128K context window with ~500ms latency. Solar Pro offers 32K context at ~180ms. Llama 3.2 90B Vision has the larger context window.
Best For
Llama 3.2 90B Vision (Vision) is optimized for: Chart image analysis, Document scanning, Visual Q&A. Solar Pro (Open Source) works best for: General purpose, Korean content, Chatbots.
Try Both on XALEN
Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:
from xalen import XALEN
client = XALEN(api_key="xln_test_YOUR_KEY")
# Use Llama 3.2 90B Vision
response_a = client.chat.completions.create(
model="llama-3-2-90b-vision",
messages=[{"role": "user", "content": "Your question here"}]
)
# Use Solar Pro
response_b = client.chat.completions.create(
model="solar-pro",
messages=[{"role": "user", "content": "Your question here"}]
)
Frequently Asked Questions
Which is better, Llama 3.2 90B Vision or Solar Pro?
Llama 3.2 90B Vision (Vision, 90B) offers Vision + language. Solar Pro (Open Source, 22B) offers Good instruction following. Choose Llama 3.2 90B Vision for Chart image analysis or Solar Pro for General purpose.
How much does Llama 3.2 90B Vision cost vs Solar Pro?
Llama 3.2 90B Vision: $0.06/1M input, $0.10/1M output. Solar Pro: $0.02/1M input, $0.04/1M output. Both available on XALEN with batch processing at 50% discount.
Can I use both models on XALEN?
Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between Llama 3.2 90B Vision and Solar Pro by changing the model parameter. No code changes needed.
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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.